**** OPEN OUTPUT LOG FILE  *****


log using "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Output\Implementation Delay Project.APPENDIX B MODELS.04-19-2025.smcl", replace 




*** MODELS PREDICTING IMPLEMENTATION DELAY: TIME FROM INITIAL FILING BY CLAIMANT --> PAYMENT TO CLAIMANT [PROPORTION OBSERVED IN TIME RANGE: IN DAYS] ***






*** APPENDIX B MODELS: ANALYZING SENSITIVITY OF MANUSCRIPT MODEL ESTIMATES -- INCLUSION OF ONLY STATE, YEAR, AND STATE ADOPTION YEAR COHORT UNIT EFFECT INDICATORS AS COVARIATES ///
***                    --I.E., OMIT ADDITIONAL CONTROL COVARIATES ***








*** RETRIEVE MANUSCRIPT MODELS DATABASE [as of 04-18-2025] ***


use "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Data\Implementation Delay.MANUSCRIPT DATABASE.04-18-2025.dta", replace






*** SET DATA TO PANEL STRUCTURE  ***

xtset stateid monthyear, monthly

*
*
*
*
*


tab itmod_monthadopt





*******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************




*** TESTING H1: INTER-SECTORAL HYPOTHESIS [PLUS, BASELINE ORGANIZATIONAL LEARNING ESTIMATES] ***





**** TABLE B1 -- MODELS B1 & B2: "ADMINISTRATIVE LEADERSHIP, ORGANIZATIONAL LEARNING, & IMPLEMENTATION DELAY" MANUSCRIPT STATISTICAL ANALYSES [JULY 2024]: ORGANIZATIONAL LEARNING EFFECTS ON IMPLEMENTATION DELAY ****
***            (MODELS B1-B2; FIGURES B1A-B1B & B1C-B1D)




****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************




*** ESTIMATE MODEL B1: 14 DAYS OR LESS [DELAY] [MODEL 1 without ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE WITHIN 14 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL *** 	[FIGURES B1A - B1B]


npregress series delay_14days  itmod_monthcount i.agencyhead_gov0 if itmod_adopt_state==1, asis(i.stateid i.year adoptcohort_2002_itadopt adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)  vce(bootstrap, seed(123) rep(1000))

*
*


* [MODEL B1] FIGURE B1A:  E(Y) [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
legend(on order(1 "Unconditional Adaptation") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B1A}""{bf:Unconditional Adaptation Estimates}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL B1]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B1.FIGURE B1A.04-19-2025.gph", replace

***********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL B1] FIGURE B1B: First-Difference Marginal Effect AGENCYHEAD_GOV0==1 - AGENCYHEAD_GOV0==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

*** ON THE IMPORTANCE OF GOVERNMENT EXPERIENCE [ANY TYPE: POLITICAL/ADMINISTRATIVE/AGENCY-SPECIFIC] ***

margins r.agencyhead_gov0, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Government - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B1B}""{bf:Conditional Adaptation Estimates: Prior Government - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit}" "{bf:[MODEL B1]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B1.FIGURE B1B.04-19-2025.gph", replace





****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************


*** MODEL B2: 28 DAYS OR MORE [DELAY] [MODEL 2 without ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE BEYOND 28 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: *** 	[FIGURES B1C - B1D]


npregress series delay_29plusdays  itmod_monthcount i.agencyhead_gov0 if itmod_adopt_state==1, asis(i.stateid i.year adoptcohort_2002_itadopt adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)  vce(bootstrap, seed(123) rep(1000))

*
*
*


* [MODEL B2] FIGURE B1C: E(Y) [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
legend(on order(1 "Unconditional Adaptation") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B1C}""{bf: Unconditional Adaptation Estimates}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL B2]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B2.FIGURE B1C.04-19-2025.gph", replace


****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



*  [MODEL B2] FIGURE B1D: First-Difference Marginal Effect AGENCYHEAD_GOV0==1 - AGENCYHEAD_GOV0==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

*** ON THE IMPORTANCE OF GOVERNMENT EXPERIENCE [ANY TYPE: POLITICAL/ADMINISTRATIVE/AGENCY-SPECIFIC] ***

margins r.agencyhead_gov0, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Government - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B1D}""{bf:Learning Experience Differential: Prior Government - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days}" "{bf:[MODEL B2]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B2.FIGURE B1D.04-19-2025.gph", replace





******************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************





*** TESTING H2: INTRA-SECTORAL HYPOTHESIS [0 = NO PRIOR GOVERNMENT EXPERIENCE PLUS; 1 = PRIOR GOVERNMENT EXPERIENCE RESTRICTED TO ONLY ELECTED OFFICE OR WORKING ON BEHALF OF ELECTED OFFICIAL VIA STAFF; = 2 PRIOR GOVERNMENT EXPERIENCE: APPOINTED AGENCY POSITION; = 3 PRIOR GOVERNMENT EXPERIENCE: CIVIL SERVANT/NON-APPOINTED AGENCY POSITION] ***


*
*
tab agencyhead_govord_1 if itmod_adopt_state==1 & itmod_monthcount==0
*
*
tab agencyhead_govord_1 if itmod_adopt_state==1 & itmod_monthcount>0




****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



**** TABLE B1 -- MODELS B3 & B4: "ADMINISTRATIVE LEADERSHIP, ORGANIZATIONAL LEARNING, & IMPLEMENTATION DELAY" MANUSCRIPT STATISTICAL ANALYSES [JUNE 2024]: ORGANIZATIONAL LEARNING EFFECTS ON IMPLEMENTATION DELAY ****
***            (MODELS B3-B4; FIGURES B2A-B2F; B3A-B3F)




****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************





*** ESTIMATE MODEL B3: 14 DAYS OR LESS [DELAY] [MODEL 3 without ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE WITHIN 14 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: ORGANIZATIONAL LEARNING  *** [FIGURES B2A-B2F]


npregress series delay_14days  itmod_monthcount i.agencyhead_govord_1 if itmod_adopt_state==1, asis(i.stateid i.year  adoptcohort_2002_itadopt adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)  vce(bootstrap, seed(123) rep(1000))

*

*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL B3] FIGURE B2A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_1==1 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==1, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B2A}""{bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL B3]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B3.FIGURE B2A.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************

*

* [MODEL B3] FIGURE B2B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Appointed Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B2B}""{bf:Conditional Adaptation Estimates: Prior Appointed Administrative - No Prior Government}"  "{bf:Proportion of Cases Met 14 Day Limit [MODEL B3]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B3.FIGURE B2B.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL B3] FIGURE B2C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Civil Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B2C}""{bf:Conditional Adaptation Estimates: Prior Civil Administrative - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL B3]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B3.FIGURE B2C.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************




* [MODEL B3] FIGURE B2D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Appointed Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B2D}""{bf:Conditional Adaptation Estimates: Prior Appointed Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL B3]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B3.FIGURE B2D.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL B3] FIGURE B2E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Civil Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B2E}""{bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL B3]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B3.FIGURE B2E.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL B3] FIGURE B2F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==2 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==2|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Civil Administrative  - Prior Appointed Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B2F}""{bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Appointed Administrative}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL B3]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B3.FIGURE B2F.04-19-2025.gph", replace




****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************






***  MODEL B4: 28 DAYS OR MORE [DELAY] [MODEL 4 without ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE BEYOND 28 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL *** [FIGURES B3A-B3F]

*
*

npregress series  delay_29plusdays  itmod_monthcount i.agencyhead_govord_1 if itmod_adopt_state==1, asis(i.stateid i.year  adoptcohort_2002_itadopt adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)  vce(bootstrap, seed(123) rep(1000))

*

*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************





* [MODEL B4] FIGURE B3A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_1==1 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==1, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B3A}""{bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL B4]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B4.FIGURE B3A.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************

*

* [MODEL B4] FIGURE B3B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Appointed Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B3B}""{bf:Conditional Adaptation Estimates: Prior Appointed Administrative - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL B4]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B4.FIGURE B3B.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL B4] FIGURE B3C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Civil Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B3C}""{bf:Conditional Adaptation Estimates: Prior Civil Administrative - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL B4]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B4.FIGURE B3C.04-19-2025.gph", replace


**********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************




* [MODEL B4] FIGURE B3D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Appointed Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B3D}""{bf:Conditional Adaptation Differential: Prior Appointed Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL B4]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B4.FIGURE B3D.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL B4] FIGURE B3E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Civil Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B3E}""{bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL B4]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B4.FIGURE B3E.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL B4] FIGURE B3F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==2 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_1 if agencyhead_govord_1==2|agencyhead_govord_1==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Civil Administrative  - Prior Appointed Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B3F}""{bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Appointed Administrative}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL B4]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B4.FIGURE B3F.04-19-2025.gph", replace






************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************









*** TESTING H3: INTRA-SECTORAL AGENCY-SPECIFIC HYPOTHESIS [0 = NO PRIOR GOVERNMENT EXPERIENCE; 1 = PRIOR GOVERNMENT EXPERIENCE RESTRICTED TO ONLY ELECTED OFFICE OR WORKING ON BEHALF OF ELECTED OFFICIAL VIA STAFF; = 2 PRIOR GOVERNMENT EXPERIENCE RESTRICTED ONLY TO NON-UIP AGENCY: APPOINTED OR CIVIL/NON-APPOINTED POSITION; = 3 PRIOR GOVERNMENT EXPERIENCE: IN UIP AGENCY: APPOINTED OR CIVIL SERVANT/NON-APPOINTED AGENCY POSITION] ***






**** TABLE B1 -- MODELS B5 & B6: "ADMINISTRATIVE LEADERSHIP, ORGANIZATIONAL LEARNING, & IMPLEMENTATION DELAY" MANUSCRIPT STATISTICAL ANALYSES [JUNE 2024]: ORGANIZATIONAL LEARNING EFFECTS ON IMPLEMENTATION DELAY ****
***            (MODELS B5-B6; FIGURES B4A-B4F; B5A-B5F)




****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************





*** ESTIMATE MODEL B5: 14 DAYS OR LESS [DELAY] [MODEL 5 without ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE WITHIN 14 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: ORGANIZATIONAL LEARNING *** [FIGURES B4A-B4F]


npregress series delay_14days  itmod_monthcount i.agencyhead_govord_2 if itmod_adopt_state==1, asis(i.stateid i.year  adoptcohort_2002_itadopt adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)  vce(bootstrap, seed(123) rep(1000))

*

*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL B5] FIGURE B4A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_2==1 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==1, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B4A}""{bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL B5]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B5.FIGURE B4A.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************

*

* [MODEL B5] FIGURE B4B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Non-UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B4B}""{bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL B5]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B5.FIGURE B4B.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL B5] FIGURE B4C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B4C}""{bf:Conditional Adaptation Estimates: Prior UIP Administrative - No Prior Government}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL B5]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B5.FIGURE B4C.04-19-2025.gph", replace


*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************




* [MODEL B5] FIGURE B4D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Non-UIP Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B4D}""{bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL B5]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B5.FIGURE B4D.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL B5] FIGURE B4E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior UIP Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B4E}""{bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL B5]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B5.FIGURE B4E.04-19-2025.gph", replace



*****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************



* [MODEL B5] FIGURE B4F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==2 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==2|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior UIP Administrative  - Prior Non-UIP Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B4F}""{bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Non-UIP Administrative}" "{bf:Proportion of Cases Met 14 Day Limit [MODEL B5]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B5.FIGURE B4F.04-19-2025.gph", replace






****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************





*** MODEL B6: 28 DAYS OR MORE [DELAY] [MODEL 6 without ADDITIONAL COVARIATES: PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE BEYOND 28 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: [CONTROLS, PLUS STATE AND YEAR UNIT EFFECTS] *** 	[FIGURES B5A-B5F]

*
*

npregress series  delay_29plusdays  itmod_monthcount i.agencyhead_govord_2 if itmod_adopt_state==1, asis(i.stateid i.year   adoptcohort_2002_itadopt adoptcohort_2004_itadopt  adoptcohort_2006_itadopt adoptcohort_2007_itadopt adoptcohort_2009_itadopt adoptcohort_2010_itadopt  adoptcohort_2013_itadopt adoptcohort_2014_itadopt adoptcohort_2015_itadopt adoptcohort_2016_itadopt adoptcohort_2017_itadopt adoptcohort_2018_itadopt  adoptcohort_2020_itadopt adoptcohort_2021_itadopt)  vce(bootstrap, seed(123) rep(1000))

*

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* [MODEL B6] FIGURE B5A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_2==1 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==1, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))
marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B5A}""{bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL B6]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B6.FIGURE B5A.04-19-2025.gph", replace



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*

* [MODEL B6] FIGURE B5B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Non-UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B5B}""{bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL B6]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B6.FIGURE B5B.04-19-2025.gph", replace


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* [MODEL B6] FIGURE B5C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B5C}""{bf:Conditional Adaptation Estimates: Prior UIP Administrative - No Prior Government}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL B6]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B6.FIGURE B5C.04-19-2025.gph", replace


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* [MODEL B6] FIGURE B5D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==2, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior Non-UIP Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B5D}""{bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL B6]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B6.FIGURE B5D.04-19-2025.gph", replace



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* [MODEL B6] FIGURE B5E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior UIP Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B5E}""{bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Political Related Only}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL B6]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B6.FIGURE B5E.04-19-2025.gph", replace



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* [MODEL B6] FIGURE B5F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==2 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) : 0 1 6 12.....60]

margins r.agencyhead_govord_2 if agencyhead_govord_2==2|agencyhead_govord_2==3, at(itmod_monthcount=(0 1 6 12 18 24 30 36 42 48 54 60))

marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
yline(0, lcolor(%40gs) lpattern(shortdash)) ///
legend(on order(1 "Prior UIP Administrative  - Prior Non-UIP Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
title(" {bf:FIGURE B5F}""{bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Non-UIP Administrative}" "{bf:Proportion of Cases Met Exceeding 28 Days [MODEL B6]}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
xtitle("Months since Institution of IT Reform", size(10pt) margin(t+2 b+2)) ///
ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
*
*
graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model B6.FIGURE B5F.04-19-2025.gph", replace











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